An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
- java-8
- background-jobs
- parallel-processing
- scheduling
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An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.
Persistent cluster-friendly scheduler for Java
A Persistent Java Collections Library
A big, fast and persistent queue based on memory mapped file.
A highly scalable redis-persistent queuing system for vertx
Json-values allows Java developers to harness the power of persistent data structures when working with JSON data, simplifying complex data manipulation. It provides a purely functional approach to JSON
vertx-values enhances JSON handling in Vert.x by providing codecs for the immutable JSON objects from the json-values library. It eliminates the need for copying JSON data during transmission over the Event Bus, reducing garbage collection overhead and boosting performance.
Vertx-effect brings functional effects to the Vert.x ecosystem and is inspired by Erlang’s actor model. Its manifesto emphasizes principles such as maximizing the use of verticles for scalability, maintaining single responsibility for each verticle, and prioritizing simplicity to enhance reliability and ease debugging.
Vertx-MongoDB-Effect enables interaction with MongoDB in a purely functional and reactive style, seamlessly integrating with Vertx-effect. This library requires familiarity with Vertx-effect, as both frameworks share a foundational reliance on immutability and persistent data structures provided by json-values.